Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Llama 3.1 405B is clearly ahead on the aggregate, 59 to 38. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Llama 3.1 405B's sharpest advantage is in mathematics, where it averages 74.9 against 50.4. The single biggest benchmark swing on the page is SWE-bench Verified, 46 to 18.
Llama 3.1 405B gives you the larger context window at 128K, compared with 32K for LFM2-24B-A2B.
Pick Llama 3.1 405B if you want the stronger benchmark profile. LFM2-24B-A2B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Llama 3.1 405B
53.9
LFM2-24B-A2B
33.4
Llama 3.1 405B
40.6
LFM2-24B-A2B
18
Llama 3.1 405B
62.3
LFM2-24B-A2B
41.7
Llama 3.1 405B
68.3
LFM2-24B-A2B
46.6
Llama 3.1 405B
53.2
LFM2-24B-A2B
35.6
Llama 3.1 405B
86
LFM2-24B-A2B
68
Llama 3.1 405B
80.1
LFM2-24B-A2B
61.4
Llama 3.1 405B
74.9
LFM2-24B-A2B
50.4
Llama 3.1 405B is ahead overall, 59 to 38. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 46 and 18.
Llama 3.1 405B has the edge for knowledge tasks in this comparison, averaging 53.2 versus 35.6. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Llama 3.1 405B has the edge for coding in this comparison, averaging 40.6 versus 18. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Llama 3.1 405B has the edge for math in this comparison, averaging 74.9 versus 50.4. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
Llama 3.1 405B has the edge for reasoning in this comparison, averaging 68.3 versus 46.6. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Llama 3.1 405B has the edge for agentic tasks in this comparison, averaging 53.9 versus 33.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Llama 3.1 405B has the edge for multimodal and grounded tasks in this comparison, averaging 62.3 versus 41.7. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Llama 3.1 405B has the edge for instruction following in this comparison, averaging 86 versus 68. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Llama 3.1 405B has the edge for multilingual tasks in this comparison, averaging 80.1 versus 61.4. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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